Lead Data Scientist

Experience in Programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP).

Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.

Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.

Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.).

Contribute to internal product development initiatives related to data science.

Develop data science roadmap, and guide data scientist to meet their deliverables.